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Information, Uncertainty and Fusion

Pages
460
Published
2000
Language
English

Synopsis

This volume collects selected papers from the recent IPMU Conference, featuring insights from leading experts in uncertainty and information fusion. It explores the critical role of information fusion in developing intelligent operations, from efficient document retrieval systems to sophisticated intelligent agents. The collection highlights the latest advancements in understanding how humans interact with information and each other, offering cutting-edge research in these complex fields.

About the author

B
Bernadette Bouchon-Meunier

Bernadette Bouchon-Meunier writes on specialized topics in artificial intelligence. Her book, Uncertainty in Knowledge Bases, is a key text for understanding information theory. It's a solid choice for anyone studying the complexities of AI systems.